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Open-source platform for multi-agent workflows

Simple Agent Manager is an open-source platform designed to orchestrate and manage multi-agent workflows, enabling developers to build, deploy, and coordinate multiple AI agents efficiently through a unified interface.

Background

Simple Agent Manager (SAM) is an open-source platform for orchestrating multi-agent AI workflows—meaning it lets developers run and coordinate several AI "agents" (autonomous programs that can reason, use tools, and act on goals) in parallel rather than in a single chat. It is part of the broader trend of moving beyond simple chatbot interfaces toward agentic systems, where AI models autonomously execute multi-step tasks. The project competes with proprietary platforms like LangChain, AutoGen (from Microsoft), and CrewAI, as well as infrastructure tools like LangGraph. SAM is built on top of OpenAI's APIs (and other LLM providers), and is particularly aimed at developers who want to build production-grade, reliable multi-agent systems without vendor lock-in. Its open-source nature (hosted on GitHub) means code is transparent and modifiable. The project's claim to fame is "resilient execution"—handling agent failures, retries, and state persistence—which addresses a known pain point in production deployments of agentic AI.